in() Operation

Linda primitive that withdraws a tuple matching a template; blocks if no match.

Neighborhood — ranked by edge-count

paper

concept

Linda (tuple space model)
implements
A model of process creation and coordination based on generative communication and tuple spaces; the central topic of the paper.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

out() Operationmethod0.848
Linda primitive to generate a new data object (tuple) in tuple space.
rd() Operationmethod0.737
Linda primitive that reads a tuple without removing it; blocks if no match.
eval() Operationmethod0.735
Linda primitive that creates a live tuple (new process); it turns into a data tuple upon termination.
Inpaintingmethod0.728
actionconcept0.720
Changing configuration to sample environment differently; minimizes free energy.
Input-Injectivityconcept0.719
Assumption that DNN layers preserve input information by being injective; key condition for Theorem 1
In-Situ Evaluationconcept0.719
Evaluation setting where the same task stream that drives evolution also serves as the evaluation set, with each task scored under the harness at time of attempt
Input Injectionframework0.714
Architectural choice where the original input is projected and re-injected at each recurrence, studied for its effect on fixed-point convergence